Databricks-Certified-Data-Engineer-Associate자격증공부자료인기덤프공부

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Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Data Governance & Quality	11%	- Unity Catalog implementation 1. Permissions and access control 2. Data governance model - Data quality and reliability 1. Schema enforcement and evolution 2. Data validation and quality checks
Data Processing & Transformations	31%	- Query optimization and performance 1. Understanding query plans 2. Optimization strategies - Data transformation techniques 1. DataFrame operations and transformations 2. Aggregations, joins, and window functions 3. Complex data processing logic
Productionizing Data Pipelines	18%	- Monitoring and troubleshooting 1. Pipeline reliability and recovery 2. Logging and error handling - Deployment and CI/CD 1. Version control integration 2. Databricks Asset Bundles - Workflow orchestration 1. Scheduling, triggers, and dependencies 2. Lakeflow Jobs creation and management
Databricks Intelligence Platform	10%	- Platform architecture and core concepts 1. Compute options: clusters, SQL warehouses, serverless 2. Workspace navigation and management 3. Data layout and optimization: partitioning, file sizing, caching
Development and Ingestion	30%	- Data ingestion patterns and methods 1. Batch and streaming ingestion 2. Delta Lake basics and usage 3. Connecting to external data sources - Notebook development fundamentals 1. Data exploration and validation 2. Using PySpark and Spark SQL

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최신 Databricks Certification Databricks-Certified-Data-Engineer-Associate 무료샘플문제 (Q250-Q255):

질문 # 250
A data engineer is using the following code block as part of a batch ingestion pipeline to read from a composable table:

Which of the following changes needs to be made so this code block will work when the transactions table is a stream source?

A. Replace format("delta") with format("stream")
B. Replace predict with a stream-friendly prediction function
C. Replace schema(schema) with option ("maxFilesPerTrigger", 1)
D. Replace "transactions" with the path to the location of the Delta table
E. Replace spark.read with spark.readStream

정답：E

설명：
To read from a stream source, the data engineer needs to use the spark.readStream method instead of the spark.
read method. The spark.readStream method returns a DataStreamReader object that can be used to specify the details of the input source, such as the format, the schema, the path, and the options. The spark.read method is only suitable for batch processing, not streaming processing. The other changes are not necessary or correct for reading from a stream source. References: Structured Streaming Programming Guide, Read a stream, Databricks Data Sources

질문 # 251
A team is designing their Data bricks Asset Bundle for deployment. They want to ensure their bundle includes all necessary resources, targeted environment configurations, and deployment settings in a single version-controlled file. What is required as the main configuration file at the root of their project?

A. A JSON file named bundle_config.json that stores all resource details and environment variables
B. A Python script called configure_bundle.py that dynamically creates resources at runtime
C. A directory with multiple TXT files, each describing a single resource for the bundle
D. A databricks.yml YAML file that contains the bundle's name, targets, includes resources, and variables

정답：D

설명：
Databricks Asset Bundles require a databricks.yml file at the project root, which defines the bundle configuration including targets, resources, variables, and deployment settings in a single version-controlled specification.

질문 # 252
A data engineer is onboarding a new Bronze ingestion pipeline in Databricks with Unity Catalog. The team wants Databricks to handle storage layout, apply platform optimizations over time, and simplify lifecycle management so that when a table is dropped, its underlying data is also cleaned up according to Databricks- managed retention policies.
Which table type should the data engineer create for these ingestion tables?

A. Foreign tables federated from an external catalog to delegate optimization to the source system
B. Managed tables so that Unity Catalog manages both metadata and underlying data lifecycle
C. External tables with a LOCATION pointing to an external volume for full control of file layout
D. Temporary views over files to avoid table-level governance and lifecycle coupling

정답：B

질문 # 253
A data engineering team ingests customer transaction data from three enterprise sources: a SQL database, Amazon S3, and an Apache Kafka stream. The data must maintain lineage and support compliance audits that require access to historical snapshots.
Which Lakeflow Connect configuration satisfies both the governance and audit requirements?

A. Use separate connectors with full-load synchronization only, archive historical data separately, and create external tables for audit queries.
B. Use a single Lakeflow connector for all three sources, write directly to Delta tables, and disable table versioning to reduce storage costs.
C. Use separate connectors for each source, source-appropriate incremental processing, individual Unity Catalog schemas, and retained Delta table versions for audit compliance.
D. Use a single connector with batch scheduling, a shared Unity Catalog schema, and incremental snapshots stored externally.

정답：C

질문 # 254
Which tool is used by Auto Loader to process data incrementally?

A. Databricks SQL
B. Checkpointing
C. Spark Structured Streaming
D. Unity Catalog

정답：C

설명：
Auto Loader in Databricks utilizes Spark Structured Streaming for processing data incrementally. This allows Auto Loader to efficiently ingest streaming or batch data at scale and to recognize new data as it arrives in cloud storage. Spark Structured Streaming provides the underlying engine that supports various incremental data loading capabilities like schema inference and file notification mode, which are crucial for the dynamic nature of data lakes.
Reference:
Databricks documentation on Auto Loader: Auto Loader Overview

질문 # 255
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